Abstract: A quick-detachable dehydration basket includes a rod, dehydration basket separable from the rod, and locking component configured to connect the rod and dehydration basket and including a limiting seat and locking seat. The limiting seat is made of a hard material and includes an upper seat and lower seat. The upper seat is smaller than the lower seat in size to form a stepped shape. The lower seat is sleeved on an upper end of the rod and rotatable. The upper seat extends through the dehydration basket, and a stepped surface serves as a dehydration basket supporting surface. Insertion slots are formed in an outer wall of the upper seat, and stoppers are disposed within the insertion slots. The locking seat is sleeved on the upper seat, and a stop lever capable of being inserted on a corresponding stopper is disposed on an inner wall of the locking seat.

Abstract: Provided are a system, a method, and a medium for emergency management and supervision of highway patchy fog based on an Internet of Things (IoT) large model, the system comprising an emergency management and supervision platform, wherein the emergency management and supervision platform is configured to: predict patchy fog prediction information of a road section under monitoring at a future time point based on micrometeorological data and geographical data of the road section under monitoring in a preset time period, wherein the micrometeorological data is collected by a monitoring point arranged in the road section under monitoring; generate an emergency instruction based on the patchy fog prediction information at the future time point and predicted traffic information at the future time point; and control activation and deactivation of an intelligent road stud and a laser lane system based on the emergency instruction.

Abstract: The embodiments of the present disclosure provide a method for construction planning of a charging pile in a smart city. The method is implemented based on a management platform of an Internet of Things system for construction planning of the charging pile in the smart city. The method comprises: obtaining a region feature of a region to be expanded; determining at least one candidate construction site based on the region feature; the region feature at least including distribution of people flow in the region to be expanded and distribution of existing charging piles in the region to be expanded; and determining at least one target construction site based on the at least one candidate construction site.

Abstract: Disclosed is a method for determining a continuous gas supply time based on smart gas, implemented by a smart gas management platform of an IoT system for determining a continuous gas supply time based on smart gas. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas sensor network platform, and a smart gas object platform. The method comprises: obtaining operation data, a time feature, and user feedback data; constructing a feature vector, and match the feature vector to a vector database to determine a gas flow trend of a low balance user; predicting a planned gas outage time; determining a gas outage influence value through a first model; determining the continuous gas supply time based on the gas outage influence value; and controlling the smart gas object platform to continuously supply gas to the low balance user using the valve control equipment.

Abstract: A system, a method, and a storage medium for emergency warning of road icing based on an Internet of Things (IoT) large model are provided. The method comprises: obtaining multi-source monitoring data of a target road; determining an icing risk sequence based on the multi-source monitoring data, a road surface material, road elevation information, and slope information; determining a deicing parameter for the target road; controlling an automatic deicing vehicle to travel to the target road, measuring a pre-deicing ice thickness, and uploading the pre-deicing ice thickness back to an emergency supervision and management platform; and, controlling the automatic deicing vehicle to spread a deicing agent on the target road, and controlling a road condition information display at an entrance of the target road to display warning information.

Abstract: Disclosed herein are a method and a system for heating emergency regulation in a smart city based on an Internet of Things (IoT) large model. The system includes an emergency supervision and management platform.

Abstract: Disclosed is an emergency evacuation system for smart city high-rise building fire based on an Internet of Things (IoT) large model, comprising: an emergency supervision and management platform configured to: monitor an environmental parameter of each of one or more geographic regions; identify a fire risk region from the one or more geographic regions; determine a first emergency kit and an evacuation route for evacuating from a building, send an early warning notice to user terminals; control a first emergency robot to move along the evacuation route and send a guidance signal to a user; in response to presence of a fire, identify safety regions from the one or more geographic regions, and send the safety regions to a user terminal; determine a second emergency kit and a temporary evacuation route; control a second emergency robot to move toward a nearest safety region, and send the guidance signal to the user.

Abstract: Provided is a system and a method for emergency supervision of tunnel traffic in smart cities based on an Internet of Things (IoT) large model. The method comprises: constructing a fusion feature vector of a vehicle in a target tunnel based on multi-dimensional data of the target tunnel; determining an abnormal event based on the fusion feature vector and congestion data of the target tunnel; predicting an upstream congestion condition of the target tunnel based on the abnormal event, the congestion data, and peripheral traffic flow data of the target tunnel; and generating a signal regulation instruction including a passage duration according to the upstream congestion condition, the signal regulation instruction being configured to control a target signal light to maintain a target state for the passage duration, and the target signal light being a signal light on a key road section in a direction toward the target tunnel.

Abstract: A system and a method for urban underground space emergency warning based on an IoT large model are provided. The system includes an emergency supervision management platform configured to: determine a maximum drainage flow rate based on a working parameter of a current drainage device; determine a first water level height and a first water level change of a first drainage structure; obtain a passenger density and passenger flow information of each sub-region in an underground space; based on the first water level change and the maximum drainage flow rate, predict a water accumulation probability of each sub-region; determining a control time interval when the water accumulation probability of at least one sub-region exceeds a probability threshold; adjusting an entrance gate of the underground space to a prohibited entry state at a control time point; and controlling the drainage device to perform drainage at a maximum power.

Abstract: A drainage network sedimentation management method based on a large Internet of Things (IoT) model is provided. The method includes: acquiring flow data of a pipe section; determining a flow cross-sectional area series of a plurality of adjacent pipe sections based on the flow data of the pipe section; determining a target detection area and a target detection time based on the flow cross-sectional area series of the plurality of adjacent pipe sections; controlling a robot to perform sonar detection on the target detection area at the target detection time, and acquiring sonar detection data; determining a sedimentation risk based on the sonar detection data and pipe characteristics; automatically generating a desilting path and desilting parameters based on the sedimentation risk; controlling automated desilting equipment to travel along the desilting path to a desilting operation point, and performing a desilting operation based on the desilting parameters.

Abstract: Disclosed is system and method for emergency supervision of stormwater inlets in a smart city based on an IoT large model.

Abstract: Disclosed herein are a system and method for performing emergency monitoring of traffic anomalies in a smart city based on an Internet of Things (IoT) large-scale model. The system includes an emergency supervision management platform and an emergency supervision object platform, and the emergency supervision management platform includes an anomaly discrimination module and a diversion module. The anomaly discrimination module is configured to obtain multi-source data of a plurality of road sections in a target region; perform anomaly determination on the target region according to the multi-source data, and determine a plurality of hazard hot zones.

Abstract: Provided is a system for emergency water quality management in a smart city pipe network based on an IoT large model, including the emergency water quality management platform configured to: in response to a water quality contamination point occurring within one or more pipe network regions, determine a critical contamination region based on a contamination probability of the one or more pipe network regions and the water quality contamination point; determine a contamination source region based on water quality monitoring data, hydraulic monitoring data, and pipe network data of a plurality of monitoring points within the critical contamination region; determine a plurality of first valves based on source hydraulic data of the contamination source region; and generate a first valve control instruction based on the plurality of first valves, and control the plurality of first valves within the contamination source region to close based on the first valve control instruction.

Abstract: Provided are a system, method, and storage medium for smart city fire emergency prevention based on an Internet of Things large model. The method includes: determining a plurality of fire risk coefficients of a plurality of preset regions based on a temperature distribution, a crowd distribution, a region type, and historical danger data of the plurality of preset regions; determining a target region based on the plurality of fire risk coefficients and a plurality of risk thresholds; and generating a monitoring instruction including a sampling point and a sampling amount based on a fire risk coefficient of the target region, and sending the monitoring instruction to an emergency supervision object platform through an emergency supervision sensing network platform, to control an unmanned aerial vehicle (UAV) of the emergency supervision object platform to move to the sampling point and acquire monitoring data corresponding to the sampling amount at the sampling point.

Abstract: A method and an IoT large model system for smart city falling object emergency supervision are provided. The method includes: obtaining a surveillance video stream including a building facade; identifying potential falling object(s) and corresponding risk feature label(s) according to the surveillance video stream; determining falling object risk level(s) of the potential falling object(s) according to the potential falling object(s) and the risk feature label(s); determining a regional risk level of each region in the building facade according to the falling object risk level(s); in response to determining that there is a risk area where the regional risk level is greater than a preset risk level, controlling a lighting device corresponding to the risk area to operate with a warning color; and determining early warning information according to the risk feature label(s), and controlling an early warning device corresponding to the risk area to issue the early warning information.

Abstract: Disclosed is a system for urban heat island effect emergency monitoring based on an IoT large model. The system includes an emergency supervision management platform. The emergency supervision management platform is configured to: determine heat island levels of a plurality of candidate nodes; determine one or more target nodes and cooling parameters of one or more target nodes; determine one or more watering vehicles corresponding to the one or more target nodes; send the one or more target nodes to navigation terminals of the one or more watering vehicles corresponding to the one or more target nodes via a wireless network to control the navigation terminals to display navigation routes to the one or more target nodes; and control the one or more watering vehicles and spray systems to perform watering and spraying based on the cooling parameters of the one or more target nodes.

Abstract: Disclosed is an IoT large model system for emergency supervision of low-lying road sections, the system includes an emergency supervision management platform; the emergency supervision management platform is configured to: obtain vehicle operation data of a low-lying area through an emergency supervision object platform; determine waterlogging data based on the vehicle operation data; determine a traffic risk based on the waterlogging data; in response to determining that the traffic risk is greater than a first threshold, determine drainage parameters; determine dispatch parameters based on the drainage parameters; and send, based on the dispatch parameters, a dispatch packet including the drainage parameters to an unmanned vehicle fleet through a heterogeneous communication network, control an unmanned vehicle equipped with a drainage device to travel to the low-lying area, and control a pumping power of the drainage device to be set to a pumping power in the drainage parameters.

Abstract: The present invention provides a method for regulating a flow meter of an industrial and commercial unit of smart gas, an Internet of Things (IoT) system and a medium. The method is implemented by a smart gas management platform of an IoT system for regulating a flow meter of an industrial and commercial unit of smart gas, and comprises: obtaining operation data, a time feature, and user feedback data, the operation data including gas usage data and gas outage feedback data of the industrial and commercial unit; determining, based on the operation data, the time feature, and the user feedback data, a gas flow trend of a low balance user; and determining, based on the gas flow trend, the time feature, and the gas outage feedback data, continuous gas supply parameters of the low balance user, the continuous gas supply parameters including at least one of a continuous gas supply quota and a continuous gas supply time.

Abstract: A method and a system for traffic vehicle emergency management based on an Internet of Things (IoT) large model are provided. The method includes: determining a first anomaly confidence level of each of at least one vehicle; in response to the first anomaly confidence level being greater than a confidence threshold, determining an anomalous vehicle, a second anomaly confidence level of the anomalous vehicle, and an anomaly type of the anomalous vehicle through an anomalous vehicle monitoring model; determining a control type and a control parameter based on the anomalous vehicle, the second anomaly confidence level of the anomalous vehicle, and the anomaly type of the anomalous vehicle; and in response to the control type being anomalous vehicle control, issuing an early warning on a travel route of the anomalous vehicle via the early warning device.

Abstract: Provided is a system for emergency handling of urban storage tanks based on an IoT large model. The system includes an emergency supervision management platform. The emergency supervision management platform is configured to: obtain a tank working state of a storage tank at a first preset time; determine a state change value of the storage tank based on the tank working state; in response to determining that the state change value satisfies a first preset condition, determine an emergency control parameter based on tank monitoring data, wherein the emergency control parameter includes a water mist spraying speed of a cooling device; and control the cooling device to spray water mist toward an outer wall of the storage tank based on the emergency control parameter.